Overview

Dataset statistics

Number of variables20
Number of observations1212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory189.5 KiB
Average record size in memory160.1 B

Variable types

NUM19
BOOL1

Reproduction

Analysis started2020-08-25 01:00:48.582839
Analysis finished2020-08-25 01:01:42.960485
Duration54.38 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

X54 is highly correlated with X84 and 17 other fieldsHigh correlation
X84 is highly correlated with X54 and 17 other fieldsHigh correlation
X71 is highly correlated with X84 and 17 other fieldsHigh correlation
X46 is highly correlated with X84 and 17 other fieldsHigh correlation
X45 is highly correlated with X84 and 17 other fieldsHigh correlation
X40 is highly correlated with X84 and 17 other fieldsHigh correlation
X23 is highly correlated with X84 and 17 other fieldsHigh correlation
X81 is highly correlated with X84 and 17 other fieldsHigh correlation
X11 is highly correlated with X84 and 17 other fieldsHigh correlation
X1 is highly correlated with X84 and 17 other fieldsHigh correlation
X19 is highly correlated with X84 and 17 other fieldsHigh correlation
X31 is highly correlated with X84 and 17 other fieldsHigh correlation
X74 is highly correlated with X84 and 17 other fieldsHigh correlation
X34 is highly correlated with X84 and 17 other fieldsHigh correlation
X91 is highly correlated with X84 and 17 other fieldsHigh correlation
X5 is highly correlated with X84 and 17 other fieldsHigh correlation
X77 is highly correlated with X84 and 17 other fieldsHigh correlation
X78 is highly correlated with X84 and 17 other fieldsHigh correlation
X13 is highly correlated with X84 and 17 other fieldsHigh correlation

Variables

X84
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1165
Unique (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8089.071014851485
Minimum0.85
Maximum108777.51
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:43.010605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.85
5-th percentile1.8455
Q118.5075
median302.05
Q35502.335
95-th percentile51115.7935
Maximum108777.51
Range108776.66
Interquartile range (IQR)5483.8275

Descriptive statistics

Standard deviation17668.98386
Coefficient of variation (CV)2.18430322
Kurtosis8.989386569
Mean8089.071015
Median Absolute Deviation (MAD)300.02
Skewness2.942563927
Sum9803954.07
Variance312192990.8
2020-08-25T01:01:43.108098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1740.3%
 
1.540.3%
 
7.9840.3%
 
1.4130.2%
 
3.1620.2%
 
13.620.2%
 
2.8220.2%
 
2.3420.2%
 
1.3420.2%
 
2.4820.2%
 
1.7220.2%
 
1.6620.2%
 
4.820.2%
 
52.1420.2%
 
5.6420.2%
 
1.1520.2%
 
2.2120.2%
 
1.1420.2%
 
1.9920.2%
 
2.6420.2%
 
4.320.2%
 
7.1320.2%
 
1.720.2%
 
6.9320.2%
 
9.6120.2%
 
Other values (1140)115595.3%
 
ValueCountFrequency (%) 
0.8510.1%
 
0.8610.1%
 
0.8910.1%
 
0.9110.1%
 
0.9310.1%
 
0.9710.1%
 
0.9910.1%
 
1.0110.1%
 
1.0310.1%
 
1.0710.1%
 
ValueCountFrequency (%) 
108777.5110.1%
 
105167.0910.1%
 
105018.8710.1%
 
104117.4510.1%
 
99547.4710.1%
 
95821.110.1%
 
95567.0110.1%
 
87780.6410.1%
 
86565.5310.1%
 
86484.8210.1%
 

X54
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1179
Unique (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8260.25038778878
Minimum0.88
Maximum112189.42
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:43.217417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile1.8055
Q118.6675
median288.245
Q35247.8825
95-th percentile53970.7295
Maximum112189.42
Range112188.54
Interquartile range (IQR)5229.215

Descriptive statistics

Standard deviation18231.47789
Coefficient of variation (CV)2.207133808
Kurtosis9.304983358
Mean8260.250388
Median Absolute Deviation (MAD)286.3
Skewness2.984538321
Sum10011423.47
Variance332386786.1
2020-08-25T01:01:43.314793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.4630.2%
 
0.9930.2%
 
1.0830.2%
 
2.3230.2%
 
2.0120.2%
 
1.2820.2%
 
5.8420.2%
 
4.4320.2%
 
3.9220.2%
 
1.9320.2%
 
3.4820.2%
 
1.3920.2%
 
96.0620.2%
 
1.9120.2%
 
57.720.2%
 
1.2920.2%
 
2.8620.2%
 
2.1520.2%
 
1.1920.2%
 
1.7220.2%
 
2.8220.2%
 
1.7320.2%
 
2.6220.2%
 
3.2320.2%
 
1.2220.2%
 
Other values (1154)115895.5%
 
ValueCountFrequency (%) 
0.8810.1%
 
0.910.1%
 
0.9110.1%
 
0.9210.1%
 
0.9310.1%
 
0.9410.1%
 
0.9610.1%
 
0.9710.1%
 
0.9810.1%
 
0.9930.2%
 
ValueCountFrequency (%) 
112189.4210.1%
 
111316.4210.1%
 
108229.5410.1%
 
108219.6510.1%
 
106060.510.1%
 
103743.6410.1%
 
100770.7310.1%
 
95438.6110.1%
 
94570.7510.1%
 
92459.0310.1%
 

X71
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1164
Unique (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8214.853580858085
Minimum0.84
Maximum123224.27
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:43.424129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.84
5-th percentile1.8075
Q118.36
median301.005
Q35336.08
95-th percentile52643.6035
Maximum123224.27
Range123223.43
Interquartile range (IQR)5317.72

Descriptive statistics

Standard deviation18166.75209
Coefficient of variation (CV)2.211451721
Kurtosis9.886406369
Mean8214.853581
Median Absolute Deviation (MAD)298.975
Skewness3.036859777
Sum9956402.54
Variance330030881.4
2020-08-25T01:01:43.529207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.6550.4%
 
2.1240.3%
 
1.9630.2%
 
2.0330.2%
 
1.0730.2%
 
3.8830.2%
 
1.3230.2%
 
1.3830.2%
 
1.7830.2%
 
1.2830.2%
 
2.9720.2%
 
4.6820.2%
 
5.4420.2%
 
2.2320.2%
 
2.7720.2%
 
3.1720.2%
 
1.1820.2%
 
11.8720.2%
 
2.6420.2%
 
1.6720.2%
 
6.7720.2%
 
1.5420.2%
 
1.9720.2%
 
63.7620.2%
 
2.2720.2%
 
Other values (1139)114994.8%
 
ValueCountFrequency (%) 
0.8410.1%
 
0.9110.1%
 
0.9210.1%
 
0.9510.1%
 
120.2%
 
1.0210.1%
 
1.0420.2%
 
1.0510.1%
 
1.0620.2%
 
1.0730.2%
 
ValueCountFrequency (%) 
123224.2710.1%
 
111747.7210.1%
 
111377.4310.1%
 
109714.3810.1%
 
107932.310.1%
 
104136.7510.1%
 
99959.9310.1%
 
98931.2310.1%
 
97362.8510.1%
 
87340.3510.1%
 

X46
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1157
Unique (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8125.8930610561065
Minimum0.9
Maximum115898.37
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:43.639656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.83
Q118.665
median290.555
Q35200.7025
95-th percentile51123.595
Maximum115898.37
Range115897.47
Interquartile range (IQR)5182.0375

Descriptive statistics

Standard deviation17866.39842
Coefficient of variation (CV)2.198699674
Kurtosis9.52901463
Mean8125.893061
Median Absolute Deviation (MAD)288.645
Skewness2.99868572
Sum9848582.39
Variance319208192.5
2020-08-25T01:01:43.746435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.2640.3%
 
10.8330.2%
 
2.0930.2%
 
1.8330.2%
 
3.4430.2%
 
1.7530.2%
 
1.2120.2%
 
1.1420.2%
 
4.4220.2%
 
4.4620.2%
 
1.1920.2%
 
0.9820.2%
 
2.720.2%
 
2.0120.2%
 
2.2920.2%
 
2.8220.2%
 
1.2220.2%
 
1.1620.2%
 
1.7920.2%
 
2.0220.2%
 
0.9520.2%
 
3.6220.2%
 
1.8420.2%
 
1.3520.2%
 
3.2620.2%
 
Other values (1132)115595.3%
 
ValueCountFrequency (%) 
0.910.1%
 
0.9520.2%
 
0.9620.2%
 
0.9820.2%
 
110.1%
 
1.0310.1%
 
1.0410.1%
 
1.0510.1%
 
1.0910.1%
 
1.1110.1%
 
ValueCountFrequency (%) 
115898.3710.1%
 
110472.4710.1%
 
109770.1110.1%
 
107931.210.1%
 
100448.5910.1%
 
99519.2810.1%
 
99112.9210.1%
 
96978.7610.1%
 
89928.8310.1%
 
89512.8910.1%
 

X45
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1167
Unique (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8144.133580858086
Minimum0.88
Maximum114511.49
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:43.863599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile1.852
Q118.7075
median296.505
Q35222.69
95-th percentile51298.6265
Maximum114511.49
Range114510.61
Interquartile range (IQR)5203.9825

Descriptive statistics

Standard deviation17910.58202
Coefficient of variation (CV)2.199200424
Kurtosis9.527984866
Mean8144.133581
Median Absolute Deviation (MAD)294.545
Skewness3.001481273
Sum9870689.9
Variance320788948.3
2020-08-25T01:01:43.963038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.9540.3%
 
1.0730.2%
 
2.1730.2%
 
930.2%
 
3.8430.2%
 
1.4120.2%
 
1.8820.2%
 
1.1220.2%
 
4.0620.2%
 
4.0220.2%
 
1.720.2%
 
1.1920.2%
 
373.9720.2%
 
1.0220.2%
 
50.1720.2%
 
1.8320.2%
 
6.3120.2%
 
2.7720.2%
 
1.9620.2%
 
7.5620.2%
 
1.4620.2%
 
2.0920.2%
 
3.0420.2%
 
7.6120.2%
 
6.2720.2%
 
Other values (1142)115695.4%
 
ValueCountFrequency (%) 
0.8820.2%
 
0.910.1%
 
0.9310.1%
 
0.9410.1%
 
0.9810.1%
 
1.0220.2%
 
1.0320.2%
 
1.0410.1%
 
1.0610.1%
 
1.0730.2%
 
ValueCountFrequency (%) 
114511.4910.1%
 
113103.3910.1%
 
108617.6610.1%
 
106110.4410.1%
 
105156.7110.1%
 
101013.3910.1%
 
98183.9710.1%
 
95212.2110.1%
 
90471.0210.1%
 
88305.7510.1%
 

X40
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1168
Unique (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8121.182780528054
Minimum0.66
Maximum114450.98
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:44.073026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.66
5-th percentile1.852
Q119.0825
median286.63
Q35300.7075
95-th percentile50960.3335
Maximum114450.98
Range114450.32
Interquartile range (IQR)5281.625

Descriptive statistics

Standard deviation17823.33861
Coefficient of variation (CV)2.194672757
Kurtosis9.215259777
Mean8121.182781
Median Absolute Deviation (MAD)284.735
Skewness2.972235441
Sum9842873.53
Variance317671399.1
2020-08-25T01:01:44.171527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
140.3%
 
1.1640.3%
 
5.0630.2%
 
3.8230.2%
 
4.9520.2%
 
2.3320.2%
 
2.2720.2%
 
1.9520.2%
 
5.7220.2%
 
2.220.2%
 
3.0620.2%
 
1.1720.2%
 
1.4420.2%
 
1.3320.2%
 
2.4420.2%
 
2.5620.2%
 
28.8720.2%
 
1.9720.2%
 
6.4320.2%
 
9.8920.2%
 
11.2720.2%
 
1.5720.2%
 
3.4920.2%
 
2.0320.2%
 
3.8920.2%
 
Other values (1143)115695.4%
 
ValueCountFrequency (%) 
0.6610.1%
 
0.8710.1%
 
0.9210.1%
 
0.9510.1%
 
0.9720.2%
 
140.3%
 
1.0210.1%
 
1.0310.1%
 
1.0610.1%
 
1.0810.1%
 
ValueCountFrequency (%) 
114450.9810.1%
 
110620.1210.1%
 
109677.9910.1%
 
101093.3510.1%
 
99532.3610.1%
 
98890.3610.1%
 
96122.6710.1%
 
87892.6610.1%
 
86995.9210.1%
 
84197.1310.1%
 

X23
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1172
Unique (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8189.066526402639
Minimum0.89
Maximum136823.46
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:44.278559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.89
5-th percentile1.8655
Q119.18
median294.515
Q35278.845
95-th percentile52715.676
Maximum136823.46
Range136822.57
Interquartile range (IQR)5259.665

Descriptive statistics

Standard deviation18092.02661
Coefficient of variation (CV)2.209290467
Kurtosis10.11517946
Mean8189.066526
Median Absolute Deviation (MAD)292.54
Skewness3.044420676
Sum9925148.63
Variance327321426.8
2020-08-25T01:01:44.383496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9740.3%
 
1.9330.2%
 
1.4630.2%
 
3.730.2%
 
1.2630.2%
 
220.2%
 
3.0220.2%
 
1.820.2%
 
7.8420.2%
 
1.1720.2%
 
1.9120.2%
 
2.1320.2%
 
5.5320.2%
 
1.5120.2%
 
1.9820.2%
 
2.2120.2%
 
8.8820.2%
 
246.5320.2%
 
1.3220.2%
 
2.320.2%
 
2.4420.2%
 
4.1320.2%
 
1.8320.2%
 
2.1720.2%
 
6.220.2%
 
Other values (1147)115695.4%
 
ValueCountFrequency (%) 
0.8910.1%
 
0.9110.1%
 
0.9610.1%
 
0.9740.3%
 
0.9910.1%
 
1.0210.1%
 
1.0310.1%
 
1.0410.1%
 
1.110.1%
 
1.1110.1%
 
ValueCountFrequency (%) 
136823.4610.1%
 
114039.3310.1%
 
111633.4710.1%
 
102636.7910.1%
 
101430.8910.1%
 
100252.0310.1%
 
99611.4210.1%
 
99078.7510.1%
 
90355.4610.1%
 
83533.8510.1%
 

X81
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1178
Unique (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8189.425470297029
Minimum0.8
Maximum113272.64
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:44.498260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.85
Q118.4375
median310.08
Q35321.775
95-th percentile52381.2005
Maximum113272.64
Range113271.84
Interquartile range (IQR)5303.3375

Descriptive statistics

Standard deviation18044.41768
Coefficient of variation (CV)2.203380169
Kurtosis9.190726691
Mean8189.42547
Median Absolute Deviation (MAD)307.97
Skewness2.976933251
Sum9925583.67
Variance325601009.4
2020-08-25T01:01:44.592843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3.5830.2%
 
3.8630.2%
 
1.2730.2%
 
1.5230.2%
 
1.1730.2%
 
2.2720.2%
 
4.7220.2%
 
1.1320.2%
 
2.1520.2%
 
1.3820.2%
 
1.4320.2%
 
22.4120.2%
 
1.9820.2%
 
2.5120.2%
 
4.3520.2%
 
1.120.2%
 
2.3320.2%
 
1.8520.2%
 
5.2220.2%
 
11.0520.2%
 
1.6720.2%
 
4.4220.2%
 
1.2520.2%
 
1.7520.2%
 
12.5620.2%
 
Other values (1153)115795.5%
 
ValueCountFrequency (%) 
0.810.1%
 
0.9210.1%
 
0.9310.1%
 
0.9410.1%
 
0.9620.2%
 
110.1%
 
1.0110.1%
 
1.0210.1%
 
1.0410.1%
 
1.120.2%
 
ValueCountFrequency (%) 
113272.6410.1%
 
105386.6910.1%
 
100942.3310.1%
 
99156.0510.1%
 
98036.8810.1%
 
96380.0710.1%
 
95926.0810.1%
 
95902.2110.1%
 
94969.0410.1%
 
94679.5410.1%
 

X11
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1173
Unique (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8194.712037953796
Minimum0.8
Maximum120882.32
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:44.698262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.8455
Q119.53
median297.465
Q35476.625
95-th percentile52112.0865
Maximum120882.32
Range120881.52
Interquartile range (IQR)5457.095

Descriptive statistics

Standard deviation18117.19427
Coefficient of variation (CV)2.210839647
Kurtosis9.980153779
Mean8194.712038
Median Absolute Deviation (MAD)295.5
Skewness3.048245949
Sum9931990.99
Variance328232728.3
2020-08-25T01:01:44.797844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.2930.2%
 
1.7330.2%
 
1.3330.2%
 
9.3820.2%
 
31.2720.2%
 
3.4320.2%
 
3.0720.2%
 
2.2120.2%
 
2.2820.2%
 
2.0720.2%
 
2.2620.2%
 
5.5420.2%
 
1.9820.2%
 
16.0620.2%
 
61.8520.2%
 
1.0720.2%
 
7.5420.2%
 
4.6720.2%
 
1.0520.2%
 
1.8620.2%
 
12.9520.2%
 
1.5220.2%
 
1.5820.2%
 
11.0120.2%
 
5.2720.2%
 
Other values (1148)115995.6%
 
ValueCountFrequency (%) 
0.810.1%
 
0.9110.1%
 
0.9210.1%
 
0.9620.2%
 
0.9710.1%
 
0.9810.1%
 
1.0410.1%
 
1.0520.2%
 
1.0610.1%
 
1.0720.2%
 
ValueCountFrequency (%) 
120882.3210.1%
 
115155.0610.1%
 
111119.7510.1%
 
110947.210.1%
 
108600.9210.1%
 
105179.2710.1%
 
100704.7110.1%
 
92565.4910.1%
 
91167.7710.1%
 
89774.9910.1%
 

X1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1170
Unique (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8169.091881188118
Minimum0.92
Maximum117807.87
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:44.909409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.881
Q119.6025
median301.425
Q35358.795
95-th percentile53566.5665
Maximum117807.87
Range117806.95
Interquartile range (IQR)5339.1925

Descriptive statistics

Standard deviation17974.95046
Coefficient of variation (CV)2.200360912
Kurtosis9.255560944
Mean8169.091881
Median Absolute Deviation (MAD)299.405
Skewness2.976090722
Sum9900939.36
Variance323098844.1
2020-08-25T01:01:45.008420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.2530.2%
 
1.2730.2%
 
2.1730.2%
 
3.7830.2%
 
4.1330.2%
 
5.3420.2%
 
2.5820.2%
 
10.4320.2%
 
1.0520.2%
 
3.120.2%
 
1.8620.2%
 
7.4520.2%
 
23.0920.2%
 
1.9620.2%
 
0.9420.2%
 
9.8320.2%
 
1.4220.2%
 
1.4620.2%
 
1.8720.2%
 
1.1520.2%
 
7.9220.2%
 
1.8320.2%
 
5.720.2%
 
2.2320.2%
 
11.1120.2%
 
Other values (1145)115795.5%
 
ValueCountFrequency (%) 
0.9210.1%
 
0.9310.1%
 
0.9420.2%
 
0.9510.1%
 
0.9810.1%
 
120.2%
 
1.0310.1%
 
1.0410.1%
 
1.0520.2%
 
1.0810.1%
 
ValueCountFrequency (%) 
117807.8710.1%
 
109366.0610.1%
 
105749.6910.1%
 
103032.8410.1%
 
102748.810.1%
 
102154.3510.1%
 
94471.2610.1%
 
93351.710.1%
 
93215.3910.1%
 
90526.510.1%
 

X19
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1164
Unique (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8114.120420792078
Minimum0.92
Maximum114216.32
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:45.124365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.812
Q118.7225
median292.35
Q35215.1925
95-th percentile53388.67
Maximum114216.32
Range114215.4
Interquartile range (IQR)5196.47

Descriptive statistics

Standard deviation17853.24499
Coefficient of variation (CV)2.200268676
Kurtosis9.531589629
Mean8114.120421
Median Absolute Deviation (MAD)290.44
Skewness2.998353822
Sum9834313.95
Variance318738356.8
2020-08-25T01:01:45.226633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.0840.3%
 
1.4230.2%
 
2.9830.2%
 
3.1430.2%
 
1.1930.2%
 
0.9530.2%
 
1.6930.2%
 
1.7620.2%
 
1.0920.2%
 
9.9120.2%
 
3.6920.2%
 
14.4220.2%
 
1.5920.2%
 
2.2720.2%
 
2.420.2%
 
5.3720.2%
 
6.920.2%
 
2.0920.2%
 
1.620.2%
 
5.6920.2%
 
1.4320.2%
 
2.0420.2%
 
1.8920.2%
 
7.620.2%
 
1.0420.2%
 
Other values (1139)115495.2%
 
ValueCountFrequency (%) 
0.9220.2%
 
0.9530.2%
 
0.9710.1%
 
1.0210.1%
 
1.0420.2%
 
1.0610.1%
 
1.0710.1%
 
1.0810.1%
 
1.0920.2%
 
1.1120.2%
 
ValueCountFrequency (%) 
114216.3210.1%
 
113687.6610.1%
 
110852.3110.1%
 
108154.7110.1%
 
107024.4810.1%
 
98515.3110.1%
 
96790.5310.1%
 
95402.4710.1%
 
85594.8610.1%
 
83411.8410.1%
 

X31
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1174
Unique (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8132.08099009901
Minimum0.71
Maximum110662.75
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:45.509450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.71
5-th percentile1.831
Q118.58
median292
Q35430.5275
95-th percentile51820.188
Maximum110662.75
Range110662.04
Interquartile range (IQR)5411.9475

Descriptive statistics

Standard deviation17801.63567
Coefficient of variation (CV)2.189062762
Kurtosis9.012473117
Mean8132.08099
Median Absolute Deviation (MAD)289.96
Skewness2.944507684
Sum9856082.16
Variance316898232.7
2020-08-25T01:01:45.605346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.0460.5%
 
2.0530.2%
 
1.8230.2%
 
5.230.2%
 
1.8130.2%
 
1.2520.2%
 
1.0920.2%
 
21.5420.2%
 
10.7620.2%
 
1.3620.2%
 
7.3620.2%
 
9.0520.2%
 
2.7320.2%
 
4.3120.2%
 
1.1720.2%
 
126.2720.2%
 
5.620.2%
 
2.2620.2%
 
2.7120.2%
 
1.0820.2%
 
3.2720.2%
 
1.7220.2%
 
1.2420.2%
 
4.820.2%
 
1.2820.2%
 
Other values (1149)115495.2%
 
ValueCountFrequency (%) 
0.7110.1%
 
0.8610.1%
 
0.8710.1%
 
0.910.1%
 
0.9110.1%
 
0.9410.1%
 
0.9810.1%
 
1.0310.1%
 
1.0410.1%
 
1.0510.1%
 
ValueCountFrequency (%) 
110662.7510.1%
 
110046.1610.1%
 
106278.0110.1%
 
99824.3510.1%
 
98485.0810.1%
 
96324.710.1%
 
95835.9610.1%
 
94002.1210.1%
 
92520.5510.1%
 
91378.8810.1%
 

X74
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1176
Unique (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8269.849257425743
Minimum0.68
Maximum129800.41
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:45.713295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.68
5-th percentile1.841
Q119.22
median301.71
Q35420.755
95-th percentile52058.0895
Maximum129800.41
Range129799.73
Interquartile range (IQR)5401.535

Descriptive statistics

Standard deviation18416.02837
Coefficient of variation (CV)2.226888036
Kurtosis10.83422395
Mean8269.849257
Median Absolute Deviation (MAD)299.715
Skewness3.132105504
Sum10023057.3
Variance339150100.9
2020-08-25T01:01:45.811196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.3130.2%
 
9.1930.2%
 
2.3930.2%
 
1.4730.2%
 
4.2620.2%
 
1.1320.2%
 
3.6320.2%
 
1.4920.2%
 
4.6620.2%
 
2.0320.2%
 
2.2620.2%
 
2.6520.2%
 
1.9820.2%
 
11.5620.2%
 
4.9920.2%
 
2.8120.2%
 
1.320.2%
 
18.4920.2%
 
1.0120.2%
 
2.1220.2%
 
2.2520.2%
 
1.520.2%
 
3.1320.2%
 
3.2720.2%
 
1.6820.2%
 
Other values (1151)115895.5%
 
ValueCountFrequency (%) 
0.6810.1%
 
0.8910.1%
 
0.9210.1%
 
0.9320.2%
 
0.9610.1%
 
0.9810.1%
 
0.9910.1%
 
1.0120.2%
 
1.0210.1%
 
1.0310.1%
 
ValueCountFrequency (%) 
129800.4110.1%
 
121442.6310.1%
 
116491.7910.1%
 
113674.4510.1%
 
110098.3210.1%
 
108625.6910.1%
 
105446.3910.1%
 
101117.1610.1%
 
99367.9710.1%
 
93169.8810.1%
 

X34
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1167
Unique (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8152.29894389439
Minimum0.79
Maximum117562.76
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:45.923207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.79
5-th percentile1.891
Q118.78
median293.98
Q35351.5025
95-th percentile52727.371
Maximum117562.76
Range117561.97
Interquartile range (IQR)5332.7225

Descriptive statistics

Standard deviation17840.07304
Coefficient of variation (CV)2.18834873
Kurtosis9.227899798
Mean8152.298944
Median Absolute Deviation (MAD)291.97
Skewness2.961601698
Sum9880586.32
Variance318268205.9
2020-08-25T01:01:46.022856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.0540.3%
 
1.1230.2%
 
1.7230.2%
 
0.9230.2%
 
1.4830.2%
 
5.5320.2%
 
23.7520.2%
 
124.0620.2%
 
2.6820.2%
 
1.5320.2%
 
2.0620.2%
 
2.7120.2%
 
4.4520.2%
 
7.9520.2%
 
1.2120.2%
 
10.9120.2%
 
2.8520.2%
 
2.8620.2%
 
1.1520.2%
 
31.0920.2%
 
216.4720.2%
 
3.620.2%
 
5.2320.2%
 
60.620.2%
 
520.2%
 
Other values (1142)115695.4%
 
ValueCountFrequency (%) 
0.7920.2%
 
0.8710.1%
 
0.9230.2%
 
0.9710.1%
 
0.9910.1%
 
1.0220.2%
 
1.0310.1%
 
1.0410.1%
 
1.0510.1%
 
1.0610.1%
 
ValueCountFrequency (%) 
117562.7610.1%
 
116097.7810.1%
 
105608.8910.1%
 
100059.6210.1%
 
97245.5110.1%
 
96526.4710.1%
 
96391.2310.1%
 
90093.7710.1%
 
88073.5910.1%
 
87595.2510.1%
 

X91
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1174
Unique (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8115.970321782179
Minimum0.91
Maximum110158.85
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:46.135981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.91
5-th percentile1.8565
Q119.3575
median295.945
Q35345.99
95-th percentile52125.142
Maximum110158.85
Range110157.94
Interquartile range (IQR)5326.6325

Descriptive statistics

Standard deviation17689.41909
Coefficient of variation (CV)2.179581539
Kurtosis8.864728952
Mean8115.970322
Median Absolute Deviation (MAD)293.975
Skewness2.923549539
Sum9836556.03
Variance312915547.7
2020-08-25T01:01:46.245045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.2430.2%
 
2.6830.2%
 
1.130.2%
 
0.9630.2%
 
1.9330.2%
 
1.7130.2%
 
2.1620.2%
 
5.1120.2%
 
1.9220.2%
 
26.4820.2%
 
1.9720.2%
 
2.0520.2%
 
2.8620.2%
 
22.3620.2%
 
3.8620.2%
 
1.3820.2%
 
1.5920.2%
 
3.3920.2%
 
1.4420.2%
 
4.8220.2%
 
2.1120.2%
 
1.0820.2%
 
2.7620.2%
 
6.5420.2%
 
2.6220.2%
 
Other values (1149)115695.4%
 
ValueCountFrequency (%) 
0.9110.1%
 
0.9310.1%
 
0.9510.1%
 
0.9630.2%
 
0.9710.1%
 
1.0310.1%
 
1.0820.2%
 
1.130.2%
 
1.1110.1%
 
1.1210.1%
 
ValueCountFrequency (%) 
110158.8510.1%
 
104682.0610.1%
 
102921.2210.1%
 
101072.910.1%
 
101058.0110.1%
 
99175.9210.1%
 
98221.6210.1%
 
96492.5510.1%
 
91662.2410.1%
 
86662.4210.1%
 

X5
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1174
Unique (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8128.297211221121
Minimum0.88
Maximum113000.47
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:46.354244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile1.8855
Q119.21
median295.115
Q35321.9875
95-th percentile52753.018
Maximum113000.47
Range112999.59
Interquartile range (IQR)5302.7775

Descriptive statistics

Standard deviation17846.75796
Coefficient of variation (CV)2.195633046
Kurtosis9.226939876
Mean8128.297211
Median Absolute Deviation (MAD)293.09
Skewness2.970150623
Sum9851496.22
Variance318506769.8
2020-08-25T01:01:46.454933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.1330.2%
 
1.3930.2%
 
3.930.2%
 
0.9530.2%
 
5.0520.2%
 
3.6920.2%
 
1.5420.2%
 
1.8620.2%
 
1.6120.2%
 
1.0320.2%
 
3.220.2%
 
1.9820.2%
 
141.7820.2%
 
68.1720.2%
 
1.5920.2%
 
1.1720.2%
 
44.320.2%
 
2.8420.2%
 
9.5820.2%
 
2.3520.2%
 
2.1520.2%
 
2.4320.2%
 
2.0720.2%
 
4.820.2%
 
1.3420.2%
 
Other values (1149)115895.5%
 
ValueCountFrequency (%) 
0.8810.1%
 
0.9210.1%
 
0.9530.2%
 
0.9610.1%
 
0.9720.2%
 
0.9910.1%
 
1.0320.2%
 
1.0410.1%
 
1.0510.1%
 
1.0910.1%
 
ValueCountFrequency (%) 
113000.4710.1%
 
108930.4110.1%
 
106147.5210.1%
 
103089.2610.1%
 
102470.5610.1%
 
102205.1210.1%
 
100339.5710.1%
 
97517.810.1%
 
92759.2710.1%
 
83642.8610.1%
 

X77
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1170
Unique (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8255.866336633664
Minimum0.64
Maximum112284.99
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:46.562927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.64
5-th percentile1.781
Q118.99
median305.305
Q35198.3375
95-th percentile50920.2405
Maximum112284.99
Range112284.35
Interquartile range (IQR)5179.3475

Descriptive statistics

Standard deviation18299.87238
Coefficient of variation (CV)2.216590196
Kurtosis9.575378032
Mean8255.866337
Median Absolute Deviation (MAD)303.27
Skewness3.024104504
Sum10006110
Variance334885329.2
2020-08-25T01:01:46.662025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.3730.2%
 
1.4830.2%
 
1.0530.2%
 
1.0330.2%
 
1.9920.2%
 
2.320.2%
 
1.2720.2%
 
4.0620.2%
 
0.9720.2%
 
1.2120.2%
 
1.1920.2%
 
2.5820.2%
 
2.7320.2%
 
31.8920.2%
 
7.9720.2%
 
2.5320.2%
 
3.1320.2%
 
2.0320.2%
 
3.9620.2%
 
8.7420.2%
 
1.920.2%
 
2.0920.2%
 
1.9320.2%
 
2.1620.2%
 
2.8320.2%
 
Other values (1145)115895.5%
 
ValueCountFrequency (%) 
0.6410.1%
 
0.9210.1%
 
0.9320.2%
 
0.9720.2%
 
0.9910.1%
 
1.0330.2%
 
1.0410.1%
 
1.0530.2%
 
1.0610.1%
 
1.0710.1%
 
ValueCountFrequency (%) 
112284.9910.1%
 
109124.5910.1%
 
103990.7510.1%
 
103852.6110.1%
 
103710.6310.1%
 
103503.2710.1%
 
102647.210.1%
 
97519.510.1%
 
96861.9310.1%
 
94953.8310.1%
 

X78
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1152
Unique (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8235.94214521452
Minimum0.54
Maximum122485.87
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:46.770236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile1.761
Q118.9475
median300.82
Q35306.425
95-th percentile52768.7335
Maximum122485.87
Range122485.33
Interquartile range (IQR)5287.4775

Descriptive statistics

Standard deviation18301.06364
Coefficient of variation (CV)2.222097159
Kurtosis9.91715723
Mean8235.942145
Median Absolute Deviation (MAD)298.81
Skewness3.053218663
Sum9981961.88
Variance334928930.4
2020-08-25T01:01:46.870510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.1540.3%
 
140.3%
 
0.9740.3%
 
1.6430.2%
 
2.1130.2%
 
1.330.2%
 
1.1930.2%
 
1.7530.2%
 
1.3730.2%
 
1.6330.2%
 
1.8530.2%
 
3.6420.2%
 
10.9720.2%
 
5.1420.2%
 
8.3320.2%
 
3.9220.2%
 
1.4520.2%
 
1.9920.2%
 
2.6820.2%
 
14.1520.2%
 
5.9220.2%
 
4.2220.2%
 
1.2920.2%
 
1.7320.2%
 
4.9620.2%
 
Other values (1127)114894.7%
 
ValueCountFrequency (%) 
0.5410.1%
 
0.9740.3%
 
0.9910.1%
 
140.3%
 
1.0220.2%
 
1.0310.1%
 
1.0410.1%
 
1.0510.1%
 
1.1210.1%
 
1.1320.2%
 
ValueCountFrequency (%) 
122485.8710.1%
 
113539.4610.1%
 
110222.910.1%
 
106563.4110.1%
 
104879.8810.1%
 
101163.9410.1%
 
99440.6310.1%
 
99414.0410.1%
 
95925.2110.1%
 
95033.5810.1%
 

X13
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1168
Unique (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8122.662136963696
Minimum0.84
Maximum137461.68
Zeros0
Zeros (%)0.0%
Memory size9.6 KiB
2020-08-25T01:01:46.983971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0.84
5-th percentile1.85
Q119.25
median298.15
Q35254.4625
95-th percentile52384.3475
Maximum137461.68
Range137460.84
Interquartile range (IQR)5235.2125

Descriptive statistics

Standard deviation17978.71206
Coefficient of variation (CV)2.213401438
Kurtosis10.80284182
Mean8122.662137
Median Absolute Deviation (MAD)296.19
Skewness3.108209421
Sum9844666.51
Variance323234087.2
2020-08-25T01:01:47.087934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.8530.2%
 
1.9930.2%
 
2.8730.2%
 
5.1130.2%
 
1.7420.2%
 
4.1420.2%
 
4.1720.2%
 
1.3120.2%
 
36.1420.2%
 
2.3520.2%
 
1.3620.2%
 
11.2120.2%
 
4.6720.2%
 
13.1920.2%
 
3.620.2%
 
1.4620.2%
 
1.4320.2%
 
0.9120.2%
 
23.0120.2%
 
3.5820.2%
 
1.9720.2%
 
9.7420.2%
 
1.420.2%
 
3.2220.2%
 
1.6220.2%
 
Other values (1143)115895.5%
 
ValueCountFrequency (%) 
0.8410.1%
 
0.9120.2%
 
0.9210.1%
 
0.9410.1%
 
0.9510.1%
 
110.1%
 
1.0220.2%
 
1.0410.1%
 
1.0510.1%
 
1.0610.1%
 
ValueCountFrequency (%) 
137461.6810.1%
 
116368.3910.1%
 
113454.7610.1%
 
112838.0910.1%
 
112356.1710.1%
 
104239.2710.1%
 
95083.3110.1%
 
89504.1210.1%
 
89282.6810.1%
 
82334.2510.1%
 

target
Boolean

Distinct count2
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
1
606
0
606
ValueCountFrequency (%) 
160650.0%
 
060650.0%
 

Interactions

2020-08-25T01:00:49.933657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:50.072950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:50.372298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:00:50.635929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:50.774236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:50.905761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:51.048434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:51.176547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:00:51.309794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:01:17.330681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:17.471037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:17.612739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:17.740680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:17.879452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.020758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.152832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.285302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.416195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.556826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.691965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.833446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:18.969170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.100833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.234343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.384924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.534555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.667309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.799248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:19.932564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.070388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.207033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.335174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.463466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.765363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:20.898309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.032755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.166998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.304475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.434134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.568583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.700773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.829636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:21.959783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.099952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.233225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.363817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.493983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.626278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.760093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:22.899078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.032537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.174678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.312586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.452559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.596755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.733014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:23.893782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.029792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.174124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.320736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.458021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.625899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:24.763336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.081952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.217317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.356014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.494393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.637197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.780552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:25.917649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.058539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.203097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.336516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.474349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.612075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.753882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:26.886126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.032190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.172162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.308219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.445523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.582874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.726002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.861923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:27.997594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.140326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.279571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.424060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.554244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.685663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.825631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:28.966226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.109174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.446431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.581992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.713225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.859383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:29.995315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.124580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.257074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.391559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.525424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.657751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.785800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:30.918488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.050435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.188383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.317419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.448056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.582233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.719890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.852713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:31.989031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.127374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.263318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.394567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.536638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.670897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.802010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:32.944680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.087767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.231934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.366027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.666317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.803435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:33.939806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.072454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.213035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.351736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.488733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.623831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.761695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:34.903220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.036319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.171928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.309381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.442232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.576128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.712866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.849359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:35.979290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.107717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.237610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.373693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.511342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.643916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.781646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:36.920137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.058900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.196411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.337382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.480531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.615014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:37.919413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.068588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.202224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.340716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.480449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.619214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.753268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:38.892318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.032729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.172129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.314032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.461016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.604137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.747424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:39.891401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.037518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.191291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.346239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.488825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.628598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.769346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:40.910495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.048546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.190904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.333700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.472553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.610348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.748060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:41.891351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:01:47.234627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:01:47.523303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:01:47.808548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:01:48.102166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:01:42.353740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:01:42.810791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

X84X54X71X46X45X40X23X81X11X1X19X31X74X34X91X5X77X78X13target
038.1933.9138.2533.4034.3034.2636.4338.7937.6539.0236.7036.6837.8137.2537.5739.3838.9638.9738.550
11.721.761.651.831.731.712.001.701.861.832.001.811.831.851.711.681.771.691.811
278105.5067212.3573687.7571603.3571560.3575314.1171612.4780400.3773417.6668177.6966161.9375446.1476410.6866432.1369384.7167549.6680125.7983178.0874608.571
340700.7140986.2545375.3046671.3944434.4946254.4234731.2147769.5839113.5544889.0628895.5240540.9243590.6638493.6947653.6045876.0640139.5843882.3533587.900
45.125.715.125.345.225.325.684.445.545.705.495.374.905.905.525.273.963.615.710
53.283.303.253.443.343.503.403.353.433.373.423.433.393.513.453.373.473.293.450
623.5723.8624.5121.5623.3321.8022.3323.4624.9323.0223.8412.0325.2019.8125.2422.0923.4024.6024.540
71102.211559.101467.421483.831381.451520.511580.851215.841494.371488.341559.501567.821495.751442.131343.491386.431381.301406.261555.280
826.2725.5126.0627.7528.6026.8826.2526.1824.9425.9725.1725.3025.4525.5424.7625.9624.9025.2525.161
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